Andere Kunden interessierten sich auch für
![Multi-input multi-output (MIMO) System-Basics and applications]( "Multi-input multi-output (MIMO) System-Basics and applications")
Multi-input multi-output (MIMO) System-Basics and applications46,99 €![Pilot Decontamination in Massive Multiple Input Multiple Output]( "Pilot Decontamination in Massive Multiple Input Multiple Output")
Pilot Decontamination in Massive Multiple Input Multiple Output36,99 €![Multiple Input Multiple Output Multiplierless FIR System]( "Multiple Input Multiple Output Multiplierless FIR System")
Multiple Input Multiple Output Multiplierless FIR System32,99 €![Built-In Self-Test for Input/Output Buffers]( "Built-In Self-Test for Input/Output Buffers")
Built-In Self-Test for Input/Output Buffers32,99 €![Multiple Input Multiple Output DC-DC Converter for Electric Vehicle]( "Multiple Input Multiple Output DC-DC Converter for Electric Vehicle")
Multiple Input Multiple Output DC-DC Converter for Electric Vehicle55,99 €![Control and Estimation of Systems with Input/Output Delays]( "Control and Estimation of Systems with Input/Output Delays")
Control and Estimation of Systems with Input/Output Delays74,99 €![Analysis and Synthesis of Single-Input Single-Output Control Systems]( "Analysis and Synthesis of Single-Input Single-Output Control Systems")
Analysis and Synthesis of Single-Input Single-Output Control Systems35,80 €
In this work, a novel method is constructed for model predictive control (MPC) of Multi-Input Multi-Output (MIMO) systems. These latter are represented by a discrete-time MIMO ARX model expansion on Laguerre orthonormal bases. The resulting model entitled MIMO ARX-Laguerre model, provides a recursive representation with parameter number reduction. The recursive formulation of the MIMO ARX-Laguerre model is used to obtain the MPC strategy and to synthesizing an adaptive predictive controller of MIMO systems. The adaptive predictive control law is computed based on multi-step-ahead finite-element predictors, identified directly from experimental input/output data. The model is tuned in each iteration by an online identification algorithm of both model parameters and Laguerre poles.